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The International Year of Statistics (Statistics2013)

Mathematics of Planet Earth 2013
 
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Events

Survey Sampling and Data Collection

12-13 July 2011

University of Queensland, Brisbane

 

Proudly organised by the SSAI Biostatistics Section

and the ASA Friends of Australasia

  

Proper sampling methodology is critical for any valid statistical analysis. Several challenges arise during the design, implementation, and reporting of results from probability and non-probability samples. This lecture-based short course, which includes two practical application sessions, will address several topics in sampling and data collection. The course will cover topics such as:

(1) program evaluation, (2) non-probability sampling, (3) probability sampling including simple random, stratified, cluster and multi-stage, (4) proper reporting of statistics, and (5) modes of data collection.

 

Target Audience

This short course is aimed at non-statisticians engaged in quantitative research, and statisticians that are specialized in other areas of statistics.  No previous exposure to the topics is assumed.

At the end of this workshop delegates will have acquired an understanding of:

The mechanics of various sampling methods

Choosing a sampling method

Designing research questions

How to properly report results depending on sampling method

Advantages and disadvantages of various modes of data collection

The process of program evaluation

 

Workshop Presenter

This workshop will be presented by Justin Fisher, Senior Statistician at the U.S. Government Accountability Office. Justin works on evaluations of a wide variety of government programs and focuses methodologically on sampling and variance estimation. Prior to GAO, he held positions at various United Nations agencies including UNCTAD, UNESCO and UNESCAP, the regional office for Asia and the Pacific. As a member of Statistics Without Borders, he traveled to Haiti two months after the 2010 earthquake to assist with a survey designed to estimate the economic impact of the earthquake. In addition to his responsibilities at GAO, he is also a lecturer in the Elliott School of International Affairs at The George Washington University, Washington, D.C., where he teaches a graduate-level statistics course.

 

Program

To download the flyer with the program, please click here.


Cost

There are separate regression costs depending upon whether the delegate is a full-time student, and a member of the Statistical Society of Australia. Registration includes a complete set of course notes, and full catering (lunch, morning and afternoon tea) throughout the workshop.

Early Bird Fees (until 12 June 2011):

SSAI/NZSA Members:              $625

Non-members:                         $850

SSAI/NZSA Student members:  $320

Student non-members:              $425

 

After 12 June 2011:

Early Bird Fees:

SSAI/NZSA Members:              $675

Non-members:                         $900

SSAI/NZSA Student members:  $370

Student non-members:              $475

 

Online registration is available here. To download a registration form, please click here.
Non-member students wishing to take advantage of the student rate need to use the hard-copy registration form and fax it together with their student id to SSAI, Fax No. 02 6251 0204.

Members need to be logged in with their username and password to take advantage of the member rates!

 

Travel Expenses

Occasionally workshops have to be cancelled due to a lack of subscription. Please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

 

Cancellation Policy

Cancellations received prior to 5 July 2011 will be refunded in full. Cancellations need to be accompannied by a valid credit card number and expiry date which will be used to put the refund through. After 5 July 2011 no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.